numpy.nanmin()function用於在返回數組的最小值或沿數組的任何特定提到的軸返回最小值時，忽略任何Nan值。
用法：numpy.nanmin(arr, axis=None, out=None)
參數:
arr :Input array.
axis:Axis along which we want the min value. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column
and axis = 1 means working along the row.
out :Different array in which we want to place the result. The array must have same dimensions as expected output.
返回：最小數組值(如果軸為空則為標量值)或沿指定軸具有最小值的數組。
代碼1：工作
# Python Program illustrating
# numpy.nanmin() method
import numpy as np
# 1D array
arr = [1, 2, 7, 0, np.nan]
print("arr:", arr)
print("Min of arr:", np.amin(arr))
# nanmin ignores NaN values.
print("nanMin of arr:", np.nanmin(arr))輸出：
arr: [1, 2, 7, 0, nan] Min of arr: nan nanMin of arr: 0.0
代碼2：
# Python Program illustrating
# numpy.nanmin() method
import numpy as np
# 2D array
arr = [[np.nan, 17, 12, 33, 44],
[15, 6, 27, 8, 19]]
print("\narr:\n", arr)
# Minimum of the flattened array
print("\nMin of arr, axis = None:", np.nanmin(arr))
# Minimum along the first axis
# axis 0 means vertical
print("Min of arr, axis = 0:", np.nanmin(arr, axis = 0))
# Minimum along the second axis
# axis 1 means horizontal
print("Min of arr, axis = 1:", np.nanmin(arr, axis = 1)) 輸出：
arr: [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19]] Min of arr, axis = None: 6 Min of arr, axis = 0: [14 6 12 8 19] Min of arr, axis = 1: [12 6]
代碼3：
# Python Program illustrating
# numpy.nanmin() method
import numpy as np
arr1 = np.arange(5)
print("Initial arr1:", arr1)
# using out parameter
np.nanmin(arr, axis = 0, out = arr1)
print("Changed arr1(having results):", arr1)輸出：
Initial arr1: [0 1 2 3 4] Changed arr1(having results): [14 6 12 8 19]
相關用法
注：本文由純淨天空篩選整理自Mohit Gupta_OMG 大神的英文原創作品 numpy.nanmin() in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。